| Signal | Ministral 3 8B 2512 | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 0 | 0 | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 20 | -60 | |
Benchmarks | 0 | -67 | |
| Overall Result | 0 wins | of 6 | 5 wins |
0
days ranked higher
2
days
28
days ranked higher
Mistral AI
Alibaba
Qwen3.5-Flash saves you $3.00/month
That's $36.00/year compared to Ministral 3 8B 2512 at your current usage level of 100K calls/month.
| Metric | Ministral 3 8B 2512 | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 74 | 79 | Qwen3.5-Flash |
| Rank | #124 | #80 | Qwen3.5-Flash |
| Quality Rank | #124 | #80 | Qwen3.5-Flash |
| Adoption Rank | #124 | #80 | Qwen3.5-Flash |
| Parameters | 8B | -- | -- |
| Context Window | 262K | 1000K | Qwen3.5-Flash |
| Pricing | $0.15/$0.15/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Pricing | 0 | 0 | Qwen3.5-Flash |
| Context window size | 86 | 95 | Qwen3.5-Flash |
| Recency | 100 | 100 | Ministral 3 8B 2512 |
| Output Capacity | 20 | 80 | Qwen3.5-Flash |
| Benchmarks | -- | 67 | Qwen3.5-Flash |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 74/100 (rank #124), placing it in the top 58% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
Qwen3.5-Flash has a 6-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Ministral 3 8B 2512 offers 8% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Ministral 3 8B 2512 vs $4.88/month with Qwen3.5-Flash - a $0.38 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Ministral 3 8B 2512 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Qwen3.5-Flash has a moderate advantage with a 5.900000000000006-point lead in composite score. It wins on more signal dimensions, but Ministral 3 8B 2512 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Ministral 3 8B 2512
Marginally better benchmark scores; both are excellent
Best for Cost
Ministral 3 8B 2512
8% lower pricing; better value at scale
Best for Reliability
Ministral 3 8B 2512
Higher uptime and faster response speeds
Best for Prototyping
Ministral 3 8B 2512
Stronger community support and better developer experience
Best for Production
Ministral 3 8B 2512
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Ministral 3 8B 2512 | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
Alibaba
Qwen3.5-Flash saves you $0.0210/month
That's 5% cheaper than Ministral 3 8B 2512 at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Ministral 3 8B 2512 | Qwen3.5-Flash |
|---|---|---|
| Context Window | 262K | 1M |
| Max Output Tokens | -- | 65,536 |
| Open Source | Yes | No |
| Created | Dec 2, 2025 | Feb 25, 2026 |
Qwen3.5-Flash scores 79/100 (rank #80) compared to Ministral 3 8B 2512's 74/100 (rank #124), giving it a 6-point advantage. Qwen3.5-Flash is the stronger overall choice, though Ministral 3 8B 2512 may excel in specific areas like cost efficiency.
Ministral 3 8B 2512 is ranked #124 and Qwen3.5-Flash is ranked #80 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Ministral 3 8B 2512 is cheaper at $0.15/M output tokens vs Qwen3.5-Flash's $0.26/M output tokens - 1.7x more expensive. Input token pricing: Ministral 3 8B 2512 at $0.15/M vs Qwen3.5-Flash at $0.07/M.
Qwen3.5-Flash has a larger context window of 1,000,000 tokens compared to Ministral 3 8B 2512's 262,144 tokens. A larger context window means the model can process longer documents and conversations.